Text Classification
Transformers
PyTorch
Safetensors
Portuguese
llama
textual-entailment
text-embeddings-inference
Instructions to use nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI") model = AutoModelForSequenceClassification.from_pretrained("nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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tags:
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- textual-entailment
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widget:
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- text: "Qual a capital do Brasil?<s>A capital do Brasil é Brasília!</>"
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example_title: Exemplo
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- text: "Qual a capital do Brasil?<s>Anões são muito mais legais do que elfos!</s>"
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example_title: Exemplo
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tags:
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- textual-entailment
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widget:
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+
- text: "Qual a capital do Brasil?<s>A capital do Brasil é Brasília!</s>"
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example_title: Exemplo
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- text: "Qual a capital do Brasil?<s>Anões são muito mais legais do que elfos!</s>"
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example_title: Exemplo
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